1 code implementation • 14 Dec 2023 • Fritz Bayer, Drago Plecko, Niko Beerenwinkel, Jack Kuipers
Our approach enables the specification of the causal fairness metrics that should be minimised.
1 code implementation • 16 Oct 2023 • Paweł Czyż, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables.
no code implementations • 18 Aug 2023 • Pelin Icer Baykal, Paweł P. Łabaj, Florian Markowetz, Lynn M. Schriml, Daniel J. Stekhoven, Serghei Mangul, Niko Beerenwinkel
In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results.
2 code implementations • NeurIPS 2023 • Paweł Czyż, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
Mutual information is a general statistical dependency measure which has found applications in representation learning, causality, domain generalization and computational biology.
2 code implementations • 9 Dec 2022 • Aurelien Pelissier, Miroslav Phan, Didier Le Bail, Niko Beerenwinkel, Maria Rodriguez Martinez
Discrete stochastic processes are prevalent in natural systems, with applications in physics, biochemistry, epidemiology, sociology, and finance.
1 code implementation • 16 Dec 2021 • Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers
Inference of the marginal probability distribution is defined as the calculation of the probability of a subset of the variables and is relevant for handling missing data and hidden variables.
no code implementations • 2 May 2021 • Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data.